The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-24"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "42612959 (up from 42202245 yesterday: 0.97 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1149780 (up from 1144145 yesterday: 0.49 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 7721417

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.7



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 8575177 83718 0.99 1192836 224889 914 0.41 2.62
India 7864811 50129 0.64 1315438 118534 578 0.49 1.51
Brazil 5380635 26979 0.50 473802 156903 432 0.28 2.92
Russia 1487260 16260 1.11 288597 25647 294 1.16 1.72
France 1084659 0 0.00 455150 34536 0 0.00 3.18
Argentina 1081336 11968 1.12 290518 28613 275 0.97 2.65
Spain 1046132 0 0.00 256200 34752 0 0.00 3.32
Colombia 1007711 8769 0.88 159564 30000 198 0.66 2.98
Mexico 886800 6025 0.68 128847 88743 431 0.49 10.01
Peru 883116 3240 0.37 61552 34033 49 0.14 3.85
United Kingdom 857043 23033 2.76 374389 44835 174 0.39 5.23
South Africa 714246 1834 0.26 34530 18944 53 0.28 2.65
Iran 562705 5814 1.04 94586 32320 335 1.05 5.74
Italy 504509 19640 4.05 181758 37210 151 0.41 7.38
Chile 500542 1636 0.33 32071 13892 48 0.35 2.78
Iraq 449153 3204 0.72 73222 10568 55 0.52 2.35
Germany 434798 8688 2.04 134771 10035 27 0.27 2.31
Bangladesh 397507 1094 0.28 29942 5780 19 0.33 1.45
Indonesia 385980 4070 1.07 86474 13205 128 0.98 3.42
Philippines 367819 2020 0.55 48489 6934 19 0.27 1.89
Turkey 359784 2091 0.58 36770 9727 69 0.71 2.70
Ukraine 347317 7275 2.14 119156 6463 127 2.00 1.86
Saudi Arabia 344552 395 0.11 8555 5281 17 0.32 1.53
Pakistan 327895 832 0.25 13279 6736 9 0.13 2.05
Israel 309413 573 0.19 44970 2372 43 1.85 0.77
Belgium 305409 17709 6.16 177786 10737 79 0.74 3.52
Netherlands 287229 8683 3.12 150035 7081 55 0.78 2.47
Czechia 250797 12474 5.23 170192 2077 106 5.38 0.83
Poland 241946 13628 5.97 143806 4351 179 4.29 1.80
Canada 216051 1532 0.71 49691 9969 29 0.29 4.61
Romania 205793 4761 2.37 71728 6318 73 1.17 3.07
Morocco 194461 4045 2.12 63233 3255 50 1.56 1.67
Ecuador 159614 1344 0.85 19263 12542 14 0.11 7.86
Nepal 155233 2225 1.45 70663 842 13 1.57 0.54
Bolivia 140779 167 0.12 4210 8627 19 0.22 6.13
Qatar 130965 254 0.19 4626 229 0 0.00 0.17
Panama 128515 649 0.51 13862 2628 6 0.23 2.04
Dominican Republic 124018 1145 0.93 10092 2220 8 0.36 1.79
United Arab Emirates 123764 1491 1.22 26004 475 0 0.00 0.38
Kuwait 120927 695 0.58 14469 744 4 0.54 0.62
Portugal 116109 3669 3.26 37862 2297 21 0.92 1.98
Oman 111837 0 0.00 13252 1147 0 0.00 1.03
Sweden 110594 0 0.00 16311 5933 0 0.00 5.36
Kazakhstan 110402 152 0.14 2225 1796 0 0.00 1.63
Egypt 106397 167 0.16 2822 6187 11 0.18 5.82
Guatemala 104632 730 0.70 10884 3609 15 0.42 3.45
Switzerland 103653 0 0.00 49269 2081 14 0.68 2.01
Costa Rica 103088 1262 1.24 23906 1282 17 1.34 1.24
Japan 96599 731 0.76 11254 1710 4 0.23 1.77
Ethiopia 92858 629 0.68 14998 1419 19 1.36 1.53
Honduras 92724 1215 1.33 13936 2617 13 0.50 2.82
Belarus 91978 811 0.89 12126 953 8 0.85 1.04
China 91128 20 0.02 524 4739 0 0.00 5.20
Venezuela 89142 424 0.48 11496 770 6 0.79 0.86
Bahrain 79975 401 0.50 7665 312 1 0.32 0.39
Austria 78029 3614 4.86 30597 965 11 1.15 1.24
Armenia 75523 2213 3.02 23598 1157 12 1.05 1.53
Moldova 71089 833 1.19 15201 1669 15 0.91 2.35
Lebanon 69906 1427 2.08 26412 562 3 0.54 0.80
Uzbekistan 64923 199 0.31 6685 544 2 0.37 0.84
Nigeria 61930 48 0.08 2643 1129 0 0.00 1.82
Paraguay 59043 784 1.35 15591 1293 15 1.17 2.19
Singapore 57965 14 0.02 165 28 0 0.00 0.05
Ireland 56108 847 1.53 18440 1882 4 0.21 3.35
Hungary 56098 1820 3.35 26381 1390 38 2.81 2.48
Algeria 55880 250 0.45 3885 1907 10 0.53 3.41
Kyrgyzstan 55144 556 1.02 7960 1130 4 0.36 2.05
Libya 54374 990 1.85 18287 790 16 2.07 1.45
Jordan 50750 1820 3.72 36001 540 32 6.30 1.06
West Bank and Gaza 49989 410 0.83 8911 443 4 0.91 0.89
Azerbaijan 49013 792 1.64 8452 664 8 1.22 1.35
Tunisia 48799 1585 3.36 27855 819 35 4.46 1.68
Kenya 48790 947 1.98 9606 896 12 1.36 1.84
Ghana 47690 89 0.19 887 316 2 0.64 0.66
Burma 43788 1423 3.36 27285 1066 28 2.70 2.43
Slovakia 40801 2890 7.62 28480 159 25 18.66 0.39
Afghanistan 40768 81 0.20 1471 1511 4 0.27 3.71
Denmark 39918 789 2.02 10129 700 3 0.43 1.75
Bosnia and Herzegovina 39758 1265 3.29 11783 1075 10 0.94 2.70
Serbia 38872 757 1.99 5030 789 3 0.38 2.03
Bulgaria 37562 1043 2.86 16044 1084 7 0.65 2.89
Croatia 33959 2242 7.07 16558 429 16 3.87 1.26
El Salvador 32585 164 0.51 3227 944 4 0.43 2.90
Greece 29992 935 3.22 10379 564 5 0.89 1.88
Australia 27513 18 0.07 378 905 0 0.00 3.29
Georgia 26503 1941 7.90 18939 193 10 5.46 0.73
North Macedonia 26394 403 1.55 7792 897 14 1.59 3.40
Korea, South 25836 61 0.24 1745 457 0 0.00 1.77
Malaysia 25742 1228 5.01 13654 221 7 3.27 0.86
Cameroon 21570 0 0.00 646 425 0 0.00 1.97
Slovenia 21274 1967 10.19 14944 235 21 9.81 1.10
Cote d’Ivoire 20429 24 0.12 580 121 0 0.00 0.59
Albania 18858 302 1.63 4741 473 4 0.85 2.51
Norway 17749 217 1.24 3387 279 0 0.00 1.57
Kosovo 17263 0 0.00 15685 657 0 0.00 3.81
Madagascar 16968 158 0.94 439 244 6 2.52 1.44
Montenegro 16629 193 1.17 4695 263 8 3.14 1.58
Zambia 16117 22 0.14 1143 348 2 0.58 2.16
Senegal 15543 18 0.12 475 321 0 0.00 2.07
Finland 14652 178 1.23 4261 353 0 0.00 2.41
Sudan 13742 18 0.13 89 837 1 0.12 6.09
Luxembourg 12851 0 0.00 4142 141 0 0.00 1.10
Namibia 12579 78 0.62 1007 133 0 0.00 1.06
Mozambique 11895 147 1.25 2846 85 3 3.66 0.71
Guinea 11635 0 0.00 900 71 0 0.00 0.61
Maldives 11421 30 0.26 956 37 0 0.00 0.32
Uganda 11297 134 1.20 2635 99 0 0.00 0.88
Congo (Kinshasa) 11143 21 0.19 391 305 1 0.33 2.74
Tajikistan 10736 41 0.38 841 81 0 0.00 0.75

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 903684 4885 0.54 74163 17343 38 0.22 1.92 22871.00 438.93 1 in 44
Texas 888362 9795 1.11 100937 17915 142 0.80 2.02 30637.52 617.85 1 in 33
Florida 776251 4471 0.58 61660 16417 77 0.47 2.11 36142.12 764.37 1 in 28
New York 493832 2061 0.42 30472 33418 0 0.00 6.77 25385.17 1717.83 1 in 39
Illinois 374901 6161 1.67 72119 9751 63 0.65 2.60 29585.41 769.50 1 in 34
Georgia 349605 1846 0.53 27436 7808 42 0.54 2.23 32927.48 735.40 1 in 30
North Carolina 258292 2584 1.01 41406 4144 30 0.73 1.60 24627.19 395.12 1 in 41
Tennessee 244087 2574 1.07 44492 3100 24 0.78 1.27 35720.88 453.67 1 in 28
Arizona 236772 890 0.38 16373 5869 4 0.07 2.48 31093.28 770.73 1 in 32
New Jersey 227339 1909 0.85 19763 16281 8 0.05 7.16 25594.93 1832.99 1 in 39
Pennsylvania 197370 1715 0.88 31132 8636 28 0.33 4.38 15417.14 674.58 1 in 65
Ohio 195806 2858 1.48 37840 5206 22 0.42 2.66 16751.16 445.37 1 in 60
Wisconsin 194540 4062 2.13 63742 1770 25 1.43 0.91 33412.14 304.00 1 in 30
Alabama 183276 2360 1.30 24896 2866 7 0.24 1.56 37378.97 584.52 1 in 27
Louisiana 178870 0 0.00 11469 5820 0 0.00 3.25 38476.65 1251.94 1 in 26
Michigan 175612 3490 2.03 34341 7522 38 0.51 4.28 17584.31 753.19 1 in 57
Virginia 171791 1061 0.62 21208 3574 39 1.10 2.08 20126.60 418.72 1 in 50
Missouri 169829 2636 1.58 37199 2808 111 4.12 1.65 27671.04 457.52 1 in 36
South Carolina 169341 792 0.47 18450 3793 16 0.42 2.24 32889.96 736.69 1 in 30
Indiana 160454 2741 1.74 36395 4118 26 0.64 2.57 23833.75 611.69 1 in 42
Massachusetts 149488 1203 0.81 15185 9839 9 0.09 6.58 21510.60 1415.78 1 in 46
Maryland 139487 796 0.57 12668 4091 13 0.32 2.93 23072.18 676.68 1 in 43
Minnesota 132122 2259 1.74 29335 2381 14 0.59 1.80 23427.42 422.19 1 in 43
Oklahoma 115685 1829 1.61 24937 1245 11 0.89 1.08 29235.75 314.63 1 in 34
Mississippi 115088 1212 1.06 14921 3255 17 0.53 2.83 38670.11 1093.70 1 in 26
Iowa 114836 1460 1.29 22535 1634 5 0.31 1.42 36397.29 517.90 1 in 27
Arkansas 105318 1183 1.14 18793 1797 15 0.84 1.71 34898.64 595.46 1 in 29
Utah 103117 1608 1.58 26892 568 1 0.18 0.55 32164.18 177.17 1 in 31
Washington 102264 919 0.91 12845 2296 0 0.00 2.25 13429.47 301.51 1 in 74
Kentucky 95480 1732 1.85 23479 1404 8 0.57 1.47 21371.30 314.26 1 in 47
Nevada 94812 1147 1.22 13104 1739 5 0.29 1.83 30781.56 564.58 1 in 32
Colorado 93377 1828 2.00 20844 2218 7 0.32 2.38 16214.84 385.15 1 in 62
Kansas 75538 357 0.47 14813 956 6 0.63 1.27 25928.55 328.15 1 in 39
Connecticut 66052 0 0.00 7755 4577 0 0.00 6.93 18526.42 1283.77 1 in 54
Nebraska 63215 705 1.13 15812 595 4 0.68 0.94 32679.25 307.59 1 in 31
Puerto Rico 61280 296 0.49 10905 794 3 0.38 1.30 19187.81 248.61 1 in 52
Idaho 58694 1021 1.77 14992 572 10 1.78 0.97 32752.16 319.18 1 in 31
Oregon 41739 391 0.95 7228 653 4 0.62 1.56 9896.07 154.82 1 in 101
New Mexico 41040 872 2.17 10744 965 5 0.52 2.35 19572.41 460.22 1 in 51
South Dakota 38141 939 2.52 14155 366 10 2.81 0.96 43113.79 413.72 1 in 23
North Dakota 36874 935 2.60 13740 448 8 1.82 1.21 48387.14 587.88 1 in 21
Rhode Island 30118 0 0.00 5042 1177 0 0.00 3.91 28430.35 1111.05 1 in 35
Montana 27142 639 2.41 12786 294 12 4.26 1.08 25395.36 275.08 1 in 39
Delaware 23847 160 0.68 2722 680 2 0.29 2.85 24489.51 698.32 1 in 41
West Virginia 21716 323 1.51 5235 424 0 0.00 1.95 12151.21 237.25 1 in 82
District of Columbia 16706 97 0.58 1233 642 0 0.00 3.84 23671.31 909.67 1 in 42
Hawaii 14553 89 0.62 1819 212 3 1.44 1.46 10278.47 149.73 1 in 97
Alaska 12485 372 3.07 4268 68 0 0.00 0.54 17066.62 92.95 1 in 59
Wyoming 10805 260 2.47 4440 68 0 0.00 0.63 18669.26 117.49 1 in 54
New Hampshire 10238 126 1.25 1641 473 2 0.42 4.62 7529.54 347.87 1 in 133
Maine 6136 42 0.69 652 146 0 0.00 2.38 4564.76 108.61 1 in 219
Vermont 2043 27 1.34 265 58 0 0.00 2.84 3274.10 92.95 1 in 305

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 17609179 903684 5.13 2610291 74163 2.84 445664.1
2 Texas 7710195 888362 11.52 1237256 100937 8.16 265906.6
3 Florida 5938061 776251 13.07 561602 61660 10.98 276475.2
4 New York 13631293 493832 3.62 2521002 30472 1.21 700709.4
5 Illinois 7201568 374901 5.21 1364067 72119 5.29 568313.6
6 Georgia 3426110 349605 10.20 424729 27436 6.46 322687.5
7 North Carolina 3809077 258292 6.78 672811 41406 6.15 363181.4
8 Tennessee 3505140 244087 6.96 568178 44492 7.83 512959.3
9 Arizona 1693549 236772 13.98 205404 16373 7.97 222399.6
10 New Jersey 4339894 227339 5.24 666820 19763 2.96 488606.3
11 Pennsylvania 2407679 197370 8.20 341424 31132 9.12 188070.7
12 Ohio 4149769 195806 4.72 830994 37840 4.55 355011.8
13 Wisconsin 1962769 194540 9.91 368004 63742 17.32 337104.5
14 Alabama 1295868 183276 14.14 139823 24896 17.81 264291.1
15 Louisiana 2671238 178870 6.70 313789 11469 3.66 574608.8
16 Michigan 4579991 175612 3.83 815717 34341 4.21 458601.8
17 Virginia 2489017 171791 6.90 375139 21208 5.65 291607.0
18 Missouri 2388281 169829 7.11 1048725 37199 3.55 389133.8
19 South Carolina 1679084 169341 10.09 339326 18450 5.44 326117.2
20 Indiana 2681197 160454 5.98 1272722 36395 2.86 398263.5
21 Massachusetts 5585169 149488 2.68 1319383 15185 1.15 803678.9
22 Maryland 3234284 139487 4.31 1584559 12668 0.80 534974.4
23 Minnesota 2625390 132122 5.03 509352 29335 5.76 465525.1
24 Oklahoma 1532709 115685 7.55 284887 24937 8.75 387344.0
25 Mississippi 844632 115088 13.63 105622 14921 14.13 283800.3
26 Iowa 859419 114836 13.36 78110 22535 28.85 272393.0
27 Arkansas 1280018 105318 8.23 215280 18793 8.73 424152.5
28 Utah 1022809 103117 10.08 170129 26892 15.81 319033.8
29 Washington 2318931 102264 4.41 413172 12845 3.11 304525.8
30 Kentucky 1785186 95480 5.35 350662 23479 6.70 399578.5
31 Nevada 783707 94812 12.10 73497 13104 17.83 254437.4
32 Colorado 1790404 93377 5.22 394058 20844 5.29 310902.2
33 Kansas 616262 75538 12.26 85145 14813 17.40 211533.0
34 Connecticut 2115744 66052 3.12 439334 7755 1.77 593428.8
35 Nebraska 564275 63215 11.20 94307 15812 16.77 291704.2
37 Idaho 366047 58694 16.03 51605 14992 29.05 204259.9
38 Oregon 821142 41739 5.08 119239 7228 6.06 194687.8
39 New Mexico 1099484 41040 3.73 164083 10744 6.55 524355.6
40 South Dakota 243680 38141 15.65 45661 14155 31.00 275450.8
41 North Dakota 775786 36874 4.75 143487 13740 9.58 1018009.0
42 Rhode Island 1034572 30118 2.91 237558 5042 2.12 976600.0
43 Montana 464032 27142 5.85 109249 12786 11.70 434170.6
44 Delaware 337276 23847 7.07 44818 2722 6.07 346363.2
45 West Virginia 715690 21716 3.03 132985 5235 3.94 400465.1
46 District of Columbia 491553 16706 3.40 94004 1233 1.31 696498.3
47 Hawaii 496293 14553 2.93 194080 1819 0.94 350521.1
48 Alaska 552746 12485 2.26 79490 4268 5.37 755587.2
49 Wyoming 124491 10805 8.68 21062 4440 21.08 215099.9
50 New Hampshire 574187 10238 1.78 113138 1641 1.45 422286.1
51 Maine 574325 6136 1.07 125017 652 0.52 427257.8
52 Vermont 184670 2043 1.11 18884 265 1.40 295950.7

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1645020 12476 0.76 1460755 88.80 140486 43264 249 0.58 2.63
Andhra Pradesh 807023 6339 0.79 769576 95.36 30860 6587 43 0.66 0.82
Karnataka 802817 8910 1.12 710843 88.54 81050 10905 84 0.78 1.36
Tamil Nadu 709005 5755 0.82 667475 94.14 30606 10924 66 0.61 1.54
Uttar Pradesh 470270 4210 0.90 436071 92.73 27317 6882 52 0.76 1.46
Kerala 392931 15096 4.00 294910 75.05 96585 1333 51 3.98 0.34
Delhi 356656 8252 2.37 323654 90.75 26744 6258 69 1.11 1.75
West Bengal 349701 8275 2.42 306197 87.56 37017 6487 119 1.87 1.86
Odisha 281215 3328 1.20 264102 93.91 15815 1298 31 2.45 0.46
Telangana 231252 2251 0.98 210480 91.02 19465 1307 9 0.69 0.57
Bihar 212192 1803 0.86 200920 94.69 10222 1049 15 1.45 0.49
Assam 204171 462 0.23 185752 90.98 17510 906 6 0.67 0.44
Rajasthan 186243 3673 2.01 167736 90.06 16668 1839 25 1.38 0.99
Chhattisgarh 175959 3379 1.96 150398 85.47 23743 1818 80 4.60 1.03
Madhya Pradesh 167249 1955 1.18 153127 91.56 11237 2885 30 1.05 1.72
Gujarat 167173 1940 1.17 149648 89.52 13836 3689 13 0.35 2.21
Haryana 158304 2539 1.63 146282 92.41 10295 1727 22 1.29 1.09
Punjab 130640 483 0.37 122256 93.58 4277 4107 12 0.29 3.14
Jharkhand 99686 641 0.65 92976 93.27 5844 866 4 0.46 0.87
Jammu and Kashmir 91861 1109 1.22 82858 90.20 7565 1438 14 0.98 1.57
Uttarakhand 60155 359 0.60 54169 90.05 4542 984 5 0.51 1.64
Goa 42242 429 1.03 39090 92.54 2576 576 8 1.41 1.36
Puducherry 34193 207 0.61 29801 87.16 3804 588 4 0.68 1.72
Tripura 30218 151 0.50 27863 92.21 1992 340 4 1.19 1.13
Himachal Pradesh 20370 330 1.65 17568 86.24 2489 286 6 2.14 1.40
Manipur 17160 383 2.28 12857 74.92 4164 139 7 5.30 0.81
Arunachal Pradesh 14211 66 0.47 11781 82.90 2397 33 0 0.00 0.23
Chandigarh 13977 57 0.41 13087 93.63 674 216 2 0.93 1.55
Meghalaya 9020 219 2.49 7332 81.29 1604 81 2 2.53 0.90
Nagaland 8515 79 0.94 6598 77.49 1815 24 3 14.29 0.28
Ladakh 5933 93 1.59 5126 86.40 736 71 3 4.41 1.20
Andaman and Nicobar Islands 4245 38 0.90 3983 93.83 204 58 0 0.00 1.37
Sikkim 3770 0 0.00 3383 89.73 242 63 0 0.00 1.67
Dadra and Nagar Haveli and Daman and Diu 3226 7 0.22 3146 97.52 52 2 0 0.00 0.06
Mizoram 2447 88 3.73 2194 89.66 253 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2680430 148601 4956 3.45 5.54 2153 213 42685 17210 11.58
Piemonte 931476 53248 1548 2.99 5.72 1483 88 17843 4248 7.98
Emilia-Romagna 1466807 45542 1180 2.66 3.10 723 89 13642 4557 10.01
Veneto 2226292 42869 1729 4.20 1.93 548 68 15621 2317 5.40
Campania 843297 36023 1718 5.01 4.27 1118 108 26303 571 1.59
Lazio 1272340 32697 1687 5.44 2.57 1438 141 21405 1090 3.33
Toscana 987024 29427 1526 5.47 2.98 640 87 15688 1248 4.24
Liguria 405575 22394 1035 4.85 5.52 641 38 5760 1686 7.53
Sicilia 637158 16202 886 5.78 2.54 606 90 9889 417 2.57
Puglia 518574 14031 631 4.71 2.71 522 53 7398 656 4.68
Marche 299892 10919 274 2.57 3.64 178 23 3299 1001 9.17
Friuli Venezia Giulia 504257 7827 412 5.56 1.55 100 16 2776 372 4.75
Abruzzo 263485 7700 375 5.12 2.92 228 18 3742 503 6.53
P.A. Trento 273190 7688 162 2.15 2.81 59 4 1256 424 5.52
Sardegna 246095 7564 329 4.55 3.07 287 36 4586 184 2.43
Umbria 273906 6832 525 8.32 2.49 203 25 4021 102 1.49
P.A. Bolzano 216044 6095 277 4.76 2.82 133 12 2856 296 4.86
Calabria 254634 3611 166 4.82 1.42 100 10 1849 105 2.91
Valle d’Aosta 37525 2428 112 4.84 6.47 58 2 1093 152 6.26
Basilicata 95241 1619 50 3.19 1.70 53 5 945 44 2.72
Molise 58880 1192 66 5.86 2.02 16 2 525 27 2.27

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 99235 1009 1.03 6132 26 0.43 6.18 11623.19 718.23 1 in 86
Ontario 71423 283 0.40 3132 1 0.03 4.39 4854.80 212.89 1 in 206
Alberta 24261 0 0.00 300 0 0.00 1.24 5497.44 67.98 1 in 182
British Columbia 12554 0 0.00 256 0 0.00 2.04 2456.31 50.09 1 in 407
Manitoba 4088 153 3.89 50 2 4.17 1.22 2967.66 36.30 1 in 337
Saskatchewan 2669 78 3.01 25 0 0.00 0.94 2258.68 21.16 1 in 443
Nova Scotia 1100 3 0.27 65 0 0.00 5.91 1125.37 66.50 1 in 889
New Brunswick 326 2 0.62 4 0 0.00 1.23 417.95 5.13 1 in 2393
Newfoundland and Labrador 289 1 0.35 4 0 0.00 1.38 554.31 7.67 1 in 1804
Prince Edward Island 64 0 0.00 0 0 NaN 0.00 404.66 0.00 1 in 2471
Yukon 20 3 17.65 0 0 NaN 0.00 486.88 0.00 1 in 2054
Northwest Territories 9 0 0.00 0 0 NaN 0.00 200.43 0.00 1 in 4989

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5289 105 1.99
Guangdong 1907 8 0.42
Henan 1283 22 1.71
Zhejiang 1283 1 0.08
Shanghai 1128 7 0.62
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 940 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 845 7 0.83
Sichuan 733 3 0.41
Jiangsu 670 0 0.00
Chongqing 589 6 1.02
Shaanxi 445 3 0.67
Fujian 429 1 0.23
Hebei 368 6 1.63
Liaoning 283 2 0.71
Inner Mongolia 275 1 0.36
Guangxi 260 2 0.77
Tianjin 260 3 1.15
Shanxi 211 0 0.00
Yunnan 211 2 0.95
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 26207.75 687.31 1 in 38
India 5873.65 88.52 1 in 170
Brazil 25707.76 749.66 1 in 39
Russia 10292.46 177.49 1 in 97
France 16191.36 515.54 1 in 62
Argentina 24425.93 646.33 1 in 41
Spain 22420.32 744.79 1 in 45
Colombia 20536.19 611.37 1 in 49
Mexico 6863.78 686.87 1 in 146
Peru 27451.54 1057.91 1 in 36
United Kingdom 12899.50 674.82 1 in 78
South Africa 12592.49 333.99 1 in 79
Iran 6933.28 398.23 1 in 144
Italy 8341.75 615.24 1 in 120
Chile 27730.86 769.64 1 in 36
Iraq 11736.43 276.14 1 in 85
Germany 5251.82 121.21 1 in 190
Bangladesh NA NA 1 in NA
Indonesia 1462.05 50.02 1 in 684
Philippines 3506.38 66.10 1 in 285

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 298937 6989 2.34
Miami-Dade Florida 181633 3605 1.98
Cook Illinois 173817 5409 3.11
Harris Texas 158379 2775 1.75
Maricopa Arizona 153177 3538 2.31
Dallas Texas 92197 1217 1.32
Broward Florida 83165 1520 1.83
Clark Nevada 78162 1491 1.91
Queens New York 76057 7290 9.58
Kings New York 74339 7382 9.93
Riverside California 65757 1279 1.95
Bexar Texas 64476 1392 2.16
Tarrant Texas 63150 813 1.29
San Bernardino California 62353 1072 1.72
Orange California 58326 1444 2.48
Bronx New York 54892 4985 9.08
San Diego California 54314 868 1.60
Palm Beach Florida 50316 1561 3.10
Nassau New York 49203 2208 4.49
Suffolk New York 48562 2019 4.16
Hillsborough Florida 46790 759 1.62
Orange Florida 44921 546 1.22
Salt Lake Utah 44305 298 0.67
Philadelphia Pennsylvania 41972 1853 4.41
Westchester New York 40041 1470 3.67
Wayne Michigan 39660 3045 7.68
El Paso Texas 38554 593 1.54
Milwaukee Wisconsin 38108 567 1.49
Shelby Tennessee 35753 562 1.57
New York New York 35610 3192 8.96
Hidalgo Texas 34970 1919 5.49
Duval Florida 34177 513 1.50
Kern California 33775 416 1.23
Hennepin Minnesota 33719 984 2.92
Mecklenburg North Carolina 32877 381 1.16
Prince George’s Maryland 32121 853 2.66
Franklin Ohio 31999 642 2.01
Travis Texas 31493 449 1.43
Davidson Tennessee 31206 336 1.08
Middlesex Massachusetts 31032 2245 7.23
Fulton Georgia 30691 618 2.01
Fresno California 30590 436 1.43
Gwinnett Georgia 30204 440 1.46
St. Louis Missouri 29396 871 2.96
Pima Arizona 27417 636 2.32
Suffolk Massachusetts 27346 1168 4.27
Utah Utah 27326 78 0.29
King Washington 26164 798 3.05
Marion Indiana 25691 791 3.08
Sacramento California 25264 484 1.92
Pinellas Florida 24986 816 3.27
Montgomery Maryland 24984 864 3.46
Bergen New Jersey 24408 2057 8.43
Oakland Michigan 24343 1235 5.07
Santa Clara California 24014 388 1.62
Cameron Texas 23976 1075 4.48
Essex New Jersey 23609 2140 9.06
Oklahoma Oklahoma 23285 226 0.97
Fairfax Virginia 23232 606 2.61
Alameda California 23215 460 1.98
Jefferson Alabama 23129 377 1.63
Essex Massachusetts 22939 1337 5.83
Lee Florida 22619 506 2.24
DuPage Illinois 22546 607 2.69
Polk Florida 22481 615 2.74
Hudson New Jersey 22432 1526 6.80
Fairfield Connecticut 22322 1430 6.41
Cobb Georgia 21676 454 2.09
San Joaquin California 21630 489 2.26
Middlesex New Jersey 21578 1444 6.69
Providence Rhode Island 21543 930 4.32
Douglas Nebraska 21439 217 1.01
Tulsa Oklahoma 21413 200 0.93
Nueces Texas 21166 440 2.08
Jefferson Kentucky 21128 348 1.65
DeKalb Georgia 20883 395 1.89
Wake North Carolina 20494 270 1.32
Lake Illinois 20485 509 2.48
Passaic New Jersey 20362 1261 6.19
Baltimore Maryland 20108 662 3.29
Cuyahoga Ohio 20088 685 3.41
Union New Jersey 19449 1368 7.03
Polk Iowa 18758 288 1.54
Jefferson Louisiana 18539 583 3.14
Contra Costa California 18523 241 1.30
Will Illinois 18179 427 2.35
Macomb Michigan 18025 1084 6.01
Rockland New York 17635 683 3.87
Collin Texas 17611 175 0.99
Stanislaus California 17572 396 2.25
Tulare California 17495 286 1.63
Fort Bend Texas 17392 306 1.76
Baltimore City Maryland 17312 501 2.89
Hamilton Ohio 17147 344 2.01
Denver Colorado 17096 446 2.61
Hartford Connecticut 17062 1464 8.58
Greenville South Carolina 17009 340 2.00
Richmond New York 17004 1094 6.43
Richland South Carolina 16990 266 1.57
Charleston South Carolina 16982 275 1.62

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc